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Ajouter au panierpaperback. Etat : New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Vor Press, United Kingdom, 2019
ISBN 10 : 1916477925 ISBN 13 : 9781916477926
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Ajouter au panierPaperback. Etat : Fine.
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EUR 78,76
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 106,36
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Ajouter au panierHardcover. Etat : new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 101,27
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 97,86
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Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
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EUR 111,43
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
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Langue: anglais
Edité par Business Science Reference 2020-02-28, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 97,98
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Ajouter au panierHardcover. Etat : New.
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EUR 110,98
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Ajouter au panierEtat : New. 2020. Hardcover. . . . . .
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 112,84
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 3 working days.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 112,47
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Edition originale
EUR 142,89
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Ajouter au panierHardback. Etat : New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 137,14
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Ajouter au panierEtat : New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 120,81
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Ajouter au panierHardcover. Etat : new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : moluna, Greven, Allemagne
EUR 105,45
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Ajouter au panierEtat : New. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, includin.
Vendeur : Buchpark, Trebbin, Allemagne
EUR 49,63
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : preigu, Osnabrück, Allemagne
EUR 117,10
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Ajouter au panierBuch. Etat : Neu. Open Source Software for Statistical Analysis of Big Data | Emerging Research and Opportunities | Richard S. Segall (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799827689 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 196,02
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 185,56
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 185,55
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